Blog Archives

Instrumental Variables Simulation

January 9, 2014
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Instrumental Variables Instrumental variables are an incredibly powerful for dealing with unobserved heterogenity within the context of regression but the language used to define them is mind bending. Typically, you hear something along the lines of “an instrumental variable is a variable that is correlated with x but uncorrelated with the outcome except through x.” At this point examples are listed — taxes on...

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Penalizing P Values

November 19, 2013
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Penalizing P Values Ioannidis' paper suggesting that most published results in medical research are not true is now high profile enough that even my dad, an artist who wouldn't know a test statistic if it hit him in the face, knows about it. It has even shown up recently in the Economist as a cover article and plays directly into the...

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TV Ratings Myths

August 28, 2013
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TV Ratings Myths

TV Show Cancellations: Myths and Models TV shows are amazing ways to waste time and, on occasion, the story is so good that you actually start to care. The problem is that some shows get cancelled before they jump the shark. Classic examples are shows like Firefly or Arrested Development. With the increasing serialization of TV shows, having the show be cancelled early...

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Fixing My Internet With R and Python

February 20, 2013
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Fixing My Internet With R and Python

Last summer, I had some internet connectivity problems. Specifically, I would have massive latency issues that affected my conversations on Skype and my relatively pathetic under the best of circumstances efforts at online gaming. It was driving me up a wall and I couldn't figure it out. It hadn't occurred earlier with the same ISP so I thought it...

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Taking Expectations to the Next Level

January 31, 2013
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Taking Expectations to the Next Level

Higher Expectations I came across this post on Thursday and found it to be quite interesting. Clearly rental prices vary according to where you live. That isn't too surprising. I started thinking a bit more about it and thought that Boston and the nearby communities would have to have some differences — the area near campus would probably be high...

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Maximize Your Expectations!

January 30, 2013
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Maximize Your Expectations!

A Problem A major problem in secondary data analysis is that you didn't get to decide what data was collected. Lets say you were interested in how many times a student has read the Twilight books). Specifically, you want to know how effective the ads for the movies and books are. You come up with a model that says \(...

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How slow is R really?

January 28, 2013
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One thing you always hear about R is how slow it is, especially when the code is not well vectorized or includes loops. But R is an interpreted language and its strong suit really isn't speed but rather the comparative advantage is the 4,284 packages o...

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